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Large-Scale Machine Learning in the Earth Sciences

in Earth sciences. --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and;

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Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;

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Machine Learning for Intelligent Multimedia Analytics

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image;

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Mahout in Action

HIGHLIGHT The first and only book on Apache Mahout, an open source tool for leveraging machine learning techniques in large-scale;

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Geochemical Mechanics and Deep Neural Network Modeling

discoveries in materials sciences of rocks and minerals and of rock deformation with fluid water in the earth also provide essential information. This;

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Regularization, Optimization, Kernels, and Support Vector Machines

learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex;

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Regularization, Optimization, Kernels, and Support Vector Machines

learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex;

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Applied Directional Statistics

of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted;

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Python

-of-the-art large-scale machine learning techniques * Learn to use Python code to implement a range of machine learning algorithms and techniques;

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

and valuable for the multidisciplinary machine learning and data analytic communities to review tensor decompositions and tensor networks as;

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Quantum Machine Learning with Python

properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting;

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Large-Scale Scientific Computing

This book constitutes revised papers from the 12th International Conference on Large-Scale Scientific Computing, LSSC 2019, held in Sozopol;

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Neutron Applications in Earth, Energy and Environmental Sciences

Neutron Applications in Earth, Energy and Environmental Sciences offers a comprehensive overview of the wide ranging applications;

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Optimization, Learning, and Control for Interdependent Complex Networks

, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system;

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Broad Learning Through Fusions

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and;

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Broad Learning Through Fusions

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and;

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Applications of Big Data in Large- and Small-Scale Systems

systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business;

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Applications of Big Data in Large- and Small-Scale Systems

systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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Machine Learning and Knowledge Discovery in Databases

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Hands-On Data Science and Python Machine Learning

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;

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Pattern Recognition and Machine Intelligence

This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held;

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Quantum Machine Learning

learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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Machine Learning for Subsurface Characterization

." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the;

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Solving Large Scale Learning Tasks. Challenges and Algorithms

researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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